缺陷檢測算法匯總（傳統(tǒng)+深度學(xué)習(xí)方式）|綜述、源碼
極市導(dǎo)讀
本文是對缺陷算法的綜述、源碼等資源的匯總。 >>加入極市CV技術(shù)交流群，走在計算機視覺的最前沿
文獻資料匯總：
https://github.com/Eatzhy/surface-defect-detection
綜述：機器視覺表面缺陷檢測綜述
缺陷檢測工具箱：
https://github.com/abin24/Saliency-detection-toolbox
基于深度學(xué)習(xí)方式
1、語義分割方式
https://github.com/Wslsdx/Deep-Learning-Approach-for-Surface-Defect-Detection
https://github.com/LeeWise9/Segmentation-Based-Surface-Defect-Detection
https://github.com/CristinaMa0917/Defects_Detection_MaskRCNN
2、目標(biāo)檢測方式
https://github.com/YeahHuang/Al_surface_defect_detection
3、基于GAN
https://github.com/hukefei/GAN-defect
4、不同行業(yè)應(yīng)用
1）PCB
https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB
https://github.com/chinthysl/AXI_PCB_defect_detection
https://github.com/gustavo95/pcb-defect-detection
2）鋼材缺陷檢測
https://github.com/khornlund/severstal-steel-defect-detection
https://github.com/Diyago/Severstal-Steel-Defect-Detection
https://github.com/toandaominh1997/Steel-Defect-Detection
https://github.com/rook0falcon/steel-defect-detection
3）膠囊缺陷檢測
https://github.com/TSjianjiao/Defect-Detection-with-tensorflow
4）電池缺陷檢測
https://github.com/cdeldon/thermography
https://github.com/evip/ButtonDefectDetection
5）織物缺陷檢測
https://github.com/weningerleon/TextileDefectDetection
https://github.com/freedom-kevin/defect_detection
https://github.com/Johncheng1/Fabric-defect-detection
https://github.com/luissen/SSDT-A-single-shot-detector-for-PCB--defects
https://github.com/wangerniuniu/FabricDefectDetection
https://github.com/mynameiswangshiyi/AE-BP-fabric-defect-detection
6）水果和蔬菜缺陷檢測
https://github.com/shyamsuresh14/Detection-of-defects-in-fruits-and-vegetables
其它
https://github.com/skokec/segdec-net-jim2019
https://github.com/zwb204/Industrial_defect_detection
https://github.com/wuziheng/SiliconWaferDefectDetection
https://github.com/qiucongying/Mcue
https://github.com/yjphhw/SACNN
缺陷檢測數(shù)據(jù)集
https://github.com/abin24/Surface-Inspection-defect-detection-dataset
https://github.com/Eatzhy/Surface-defect-Detection-dataset
如果覺得有用，就請分享到朋友圈吧！
公眾號后臺回復(fù)“YOLO”獲取YOLO 系目標(biāo)檢測算法總覽
深度學(xué)習(xí)環(huán)境搭建：個人深度學(xué)習(xí)工作站配置指南｜深度學(xué)習(xí)主機配置推薦
實操教程：用OpenCV的DNN模塊部署YOLOv5目標(biāo)檢測｜TensorRT的FP16模型轉(zhuǎn)換教程
算法技巧（trick）：17種提高PyTorch“煉丹”速度方法｜PyTorch Trick集錦｜深度學(xué)習(xí)調(diào)參tricks總結(jié)
最新CV競賽：2021 高通人工智能應(yīng)用創(chuàng)新大賽｜CVPR 2021 | Short-video Face Parsing Challenge
# CV技術(shù)社群邀請函 #
備注：姓名-學(xué)校/公司-研究方向-城市（如：小極-北大-目標(biāo)檢測-深圳）
即可申請加入極市目標(biāo)檢測/圖像分割/工業(yè)檢測/人臉/醫(yī)學(xué)影像/3D/SLAM/自動駕駛/超分辨率/姿態(tài)估計/ReID/GAN/圖像增強/OCR/視頻理解等技術(shù)交流群
每月大咖直播分享、真實項目需求對接、求職內(nèi)推、算法競賽、干貨資訊匯總、與 10000+來自港科大、北大、清華、中科院、CMU、騰訊、百度等名校名企視覺開發(fā)者互動交流~
